Engineer II - Senior Java / AI Engineer in Phoenix
Energy Jobline
Phoenix, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Phoenix, United States of America
Tech stack
Java
Artificial Intelligence
Google BigQuery
Cloud Computing
Code Review
Continuous Integration
Data Structures
Software Design Patterns
DevOps
Python
Machine Learning
Maven
NoSQL
TensorFlow
Azure
Software Engineering
Systems Architecture
Google Cloud Platform
Enterprise Software Applications
PyTorch
Genesys
Spring-boot
Generative AI
GIT
Information Technology
Kafka
REST
Jenkins
Microservices
Job description
We are seeking an experienced Senior Java / AI Engineer to design, develop, and deploy scalable enterprise applications and AI-powered solutions. The ideal candidate will have strong expertise in Java, cloud technologies, microservices architecture, and modern AI/ML platforms., * Design, develop, and maintain scalable enterprise applications and microservices.
- Lead architecture, design, development, testing, and deployment activities.
- Develop and host cloud- solutions on Google Cloud Platform (GCP).
- Build and integrate AI/ML solutions into production systems.
- Collaborate with product teams and business stakeholders to deliver innovative solutions.
- Conduct code reviews, proof of concepts, and technical evaluations.
- Drive CI/CD best practices and software development standards.
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field.
- 8+ years of software development experience.
- Strong proficiency in Java and Python.
- Experience with Spring Boot, Microservices, Kafka, and REST APIs.
- Experience with Relational and NoSQL databases.
- Strong understanding of GCP services including BigQuery, Google Cloud Storage, and Vertex AI.
- Experience with CI/CD tools such as Maven, Jenkins, Git, and DevOps practices.
- Strong knowledge of data structures, algorithms, design patterns, and system architecture.
- Excellent communication and stakeholder management skills.
Qualifications
- Experience with Generative AI and AI-powered application development.
- Knowledge of TensorFlow, PyTorch, and machine learning frameworks.
- Experience with Contact Center ecosystems and Genesys platforms.
- Familiarity with responsible AI practices, model governance, and explainability.